Using LSTM recurrent neural networks to predict excess vibration events in aircraft engines. - AbdElRahman ElSaid; Brandon Wild; James Higgins; Travis Desell (eScience, 2016)

Optimizing LSTM RNNs using ACO to predict turbine engine vibration. - AbdElRahman ElSaid; Brandon Wild; Fatima El Jamiy; James Higgins; Travis Desell (GECCO (Companion), 2017)

Using ant colony optimization to optimize long short-term memory recurrent neural networks. - AbdElRahman ElSaid; Fatima El Jamiy; James Higgins; Brandon Wild; Travis Desell (GECCO, 2018)

Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration. - AbdElRahman ElSaid; Fatima El Jamiy; James Higgins; Brandon Wild; Travis Desell (Appl. Soft Comput., 2018)

Evolving Recurrent Neural Networks for Time Series Data Prediction of Coal Plant Parameters. - AbdElRahman ElSaid; Steven A. Benson; Shuchita Patwardhan; David Stadem; Travis Desell (EvoApplications, 2019)

Investigating recurrent neural network memory structures using neuro-evolution. - Alexander Ororbia; AbdElRahman ElSaid; Travis Desell (GECCO, 2019)

Is adaptivity a core property of intelligent systems?: it depends. - AbdElRahman ElSaid; Travis Desell; Daniel E. Krutz (SEAMS@ICSE, 2019)

A test bed for measuring UAV servo reliability. - AbdElRahman ElSaid; John Nordlie; Fatima El Jamiy (CoRR, 2019)

An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution. - Travis J. Desell; AbdElRahman ElSaid; Alexander Ororbia (CoRR, 2019)

The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Networks. - AbdElRahman ElSaid; Alexander G. Ororbia II; Travis J. Desell (CoRR, 2019)

An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution. - Travis Desell; AbdElRahman ElSaid; Alexander G. Ororbia II (EvoApplications, 2020)

Neuro-Evolutionary Transfer Learning Through Structural Adaptation. - AbdElRahman ElSaid; Joshua Karnas; Zimeng Lyu; Daniel E. Krutz; Alexander G. Ororbia II; Travis Desell (EvoApplications, 2020)

Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks. - AbdElRahman ElSaid; Alexander G. Ororbia II; Travis J. Desell (EvoApplications, 2020)

Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation. - AbdElRahman ElSaid; Joshua Karns; Zimeng Lyu; Daniel E. Krutz; Alexander Ororbia; Travis Desell (GECCO, 2020)

Long term predictions of coal fired power plant data using evolved recurrent neural networks. - Travis J. Desell; AbdElRahman ElSaid; Zimeng Lyu; David Stadem; Shuchita Patwardhan; Steven A. Benson (Autom., 2020)

Improving Neuroevolution Using Island Extinction and Repopulation. - Zimeng Lyu; Joshua Karns; AbdElRahman ElSaid; Travis Desell (CoRR, 2020)

Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation. - AbdElRahman ElSaid; Joshua Karns; Alexander G. Ororbia II; Daniel E. Krutz; Zimeng Lyu; Travis Desell (CoRR, 2020)

An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution. - Zimeng Lyu; AbdElRahman ElSaid; Joshua Karns; Mohamed Wiem Mkaouer; Travis Desell (CoRR, 2020)

A Hybrid Method of Face Feature Extraction, Classification Based on MLBP and Layered-Recurrent Network. - Aws Al-Qaisi; Mokhled S. AlTarawneh; AbdElRahman ElSaid; Ziad A. Alqadi (Traitement du Signal, 2020)

Investigating Deep Recurrent Connections and Recurrent Memory Cells Using Neuro-Evolution. - Travis Desell; AbdElRahman ElSaid; Alexander G. Ororbia II (Deep Neural Evolution, 2020)

Continuous Ant-Based Neural Topology Search. - AbdElRahman ElSaid; Joshua Karns; Zimeng Lyu; Alexander G. Ororbia II; Travis Desell (EvoApplications, 2021)

An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution. - Zimeng Lyu; AbdElRahman ElSaid; Joshua Karns; Mohamed Wiem Mkaouer; Travis Desell (EvoApplications, 2021)

Improving Distributed Neuroevolution Using Island Extinction and Repopulation. - Zimeng Lyu; Joshua Karns; AbdElRahman ElSaid; Mohamed Wiem Mkaouer; Travis Desell (EvoApplications, 2021)

A Self-Reconfigurable System for Mobile Health Text Misinformation Detection. - Sanjaikanth E. Vadakkethil Somanathan Pillai; Abdelrahman Ahmed ElSaid; Wen-Chen Hu (EIT, 2022)

Addressing tactic volatility in self-adaptive systems using evolved recurrent neural networks and uncertainty reduction tactics. - Aizaz Ul Haq; Niranjana Deshpande; AbdElRahman ElSaid; Travis Desell; Daniel E. Krutz (GECCO, 2022)

Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search. - AbdElRahman ElSaid; Karl Ricanek; Zeming Lyu; Alexander Ororbia; Travis Desell (CoRR, 2023)

Backpropagation-free 4D continuous ant-based neural topology search. - AbdElRahman ElSaid; Karl Ricanek; Zimeng Lyu; Alexander Ororbia; Travis Desell (Appl. Soft Comput., 2023)

Colony-Enhanced Recurrent Neural Architecture Search: Collaborative Ant-Based Optimization. - Abdelrahman Elsaid (CoRR, 2024)

Mobile Health Text Misinformation Identification Using Mobile Data Mining. - Wen-Chen Hu; Sanjaikanth E. Vadakkethil Somanathan Pillai; Abdelrahman Ahmed ElSaid (CoRR, 2024)

Continuous Ant-Based Neural Topology Search. - Abdelrahman Elsaid (Softw. Impacts, 2024)